Machine Learning Research
A new open source large language model outperforms competitors, including the open-weights Llama 3.1 405B, on a variety of benchmarks.
Data Points
FrontierMath’s hard math problems baffle models. Nvidia partners with Hugging Face’s robotics platform. Mistral offers multilingual text moderation. Grok teases free access for New Zealand’s X users.
Data Points
Oasis builds interactive Minecraft-style games in real-time. Microsoft releases system to coordinate AI agents. OpenAI’s new predicted outputs feature speeds up generation. GitHub launches Spark, a platform to build and host micro-apps.
Tech & Society
Shipping ports are the latest front in the rising tension between labor unions and AI-powered automation.
Letters
Trump and the Republican party chalked up huge wins this week. Did manipulation of social media by generative AI play any role in this election?
The Batch Newsletter
The Batch AI News and Insights: Trump and the Republican party chalked up huge wins this week. Did manipulation of social media by generative AI play any role in this election?
Machine Learning Research
Coding agents are improving, but can they tackle machine learning tasks?
Tech & Society
A new study suggests that leading AI models may meet the requirements of the European Union’s AI Act in some areas, but probably not in others.
Machine Learning Research
API commands for Claude Sonnet 3.5 enable Anthropic’s large language model to operate desktop apps much like humans do. Be cautious, though: It’s a work in progress.
Data Points
ChatGPT now includes an AI search engine. Upgrading data centers leaves behind too much trash. OmniParser works with vision models to read computer screens. Gallup poll shows most big companies’ workforces haven’t embraced AI.
Data Points
Researchers find hallucinations in Whisper transcriptions. White House directs how security agencies should use AI. Jailbreaking LLM-enabled robots could have devastating effects. Google’s synthetic podcast tool Illuminate specializes in research papers.
Machine Learning Research
Training successive neural networks on the outputs of previous networks gradually degrades performance. Will future models succumb to the curse of recursive training?